• Title/Summary/Keyword: AI experience

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A Study on the User Experience of Smart Speaker in China - Focused on Tmall Genie and Mi AI Speaker - (중국 인공지능 스피커 사용자 경험에 관한 연구 - 티몰 지니와 샤오미 스마트 스피커를 중심으로 -)

  • Xiao, Xin-Ting;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.16 no.10
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    • pp.409-414
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    • 2018
  • In China, the usage of smart speaker is continuously increasing. In this study, it is aimed to research on the user experience of the Chinese smart speaker. Therefore, we did literature research followed with theoretical background of smart speaker, and did case study of worldwide popular smart speaker brands. On this basis, we conducted in-depth interview with 8 users who have experienced with the top-selling Chinese smart speaker product "Tmall Genie" and "Mi AI speaker". The interview is based on 7 principles named Honeycomb model, which created by Peter Morville. As a result, users' discomfort was found in the functional part and the usability part of the smart speaker. Furthermore, the users were highly unsatisfied with the smart speaker in the credibility part. Accordingly, Chinese smart speaker should consider the user experience aspects to complement functional and usability parts for user.

Analyzing the effects of artificial intelligence (AI) education program based on design thinking process (디자인씽킹 프로세스 기반의 인공지능(AI) 교육 프로그램 적용 효과분석)

  • Lee, Sunghye
    • The Journal of Korean Association of Computer Education
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    • v.23 no.4
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    • pp.49-59
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    • 2020
  • At the beginning of the discussion of AI education in K-12 education, the study was conducted to develop and apply an AI education program based on Design Thinking and analyze the effects of the AI education programs. In the AI education program, students explored and defined the AI problems they were interested in, gathered the necessary data to build an AI model, and then developed a project using scratch. In order to analyze the effectiveness of the AI education program, the change of learner's perception of the value of AI and the change of AI efficacy were analyzed. The overall perception of the AI project was also analyzed. As a result, AI efficacy was significantly increased through the experience of carrying out the project according to the Design Thinking process. In addition, the efficacy of solving problems with AI was influenced by the level of use of programming languages. The learner's overall perception of the AI project was positive, and the perceptions of each stage of the AI project (AI problem understanding and problem exploration, practice, problem definition, problem solving idea implementation, evaluation and presentation) was also positive. This positive perception was higher among students with high level of programming language use. Based on these results, the implications for AI education were suggested.

Satisfaction Through Clothing Utilization and Environmental Sustainability Based on Fashion AI Curation Service

  • Shin, Eunjung;Kim, Sohyun;Koh, Ae-Ran
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.9
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    • pp.2867-2881
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    • 2022
  • This study investigates fashion Artificial Intelligence (AI) curation services to expand sustainable consumption. We analyzed the factors that affect the AI fashion curation service experience of women in their 20s and 30s using their clothes. An online survey was conducted from March 29, 2021, to June 4, 2021, for women of the previously mentioned age groups residing in the metropolitan area. Before answering the questionnaire, they installed the "Style Bot" application on their phone, took five or more photos of their clothes according to the manual provided by the application, stored them in a virtual wardrobe on the application, and then responded to the questionnaire using the AI recommended coordinating function. The effect of the properties of fashion AI curation service application on the use of clothes was investigated. Among the attributes of the fashion AI curation service application, convenience, speed, and usefulness were found to have a positive effect on the use of clothes, and promptness had no effect. Second, regarding the impact of clothing utilization on environmental sustainability, clothing utilization was found to have a positive effect on environmental sustainability. Third, environmental sustainability was found to have a positive effect on satisfaction. Fourth, clothing utilization had a positive effect on satisfaction. Thus, fashion AI curation service would help promote service development so that clothes could be used actively through an in-depth understanding of the properties of these services. Finally, the results of this study would contribute to promoting environmental sustainability.

Exploring the Types of AI Platforms for Creative Activities and How to Use Them (창작활동을 위한 인공지능 플랫폼의 종류와 활용방안 탐색)

  • Park, Ju-Yeon;Ahn, Su-Jin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.361-364
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    • 2022
  • This study was carried out for the purpose of Exploring the types of AI platforms for creative activities and how to use them. In order to learn AI in the fields of art creation and music creation, which are representative areas of creative activity, types of AI platforms that can experience AI and perform simple programming were investigated. In addition, the utilization plan was presented so that each AI platform can be used to express students' ideas abundantly and to enhance their creativity. Through this, it is meaningful to suggest that the AI platform can be used as a teaching aid to enhance students' expressive power and creativity in creative activities.

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A Study on Experts' Perception Survey on Elementary AI Education Platform (초등 AI 교육 플랫폼에 대한 전문가 인식조사 연구)

  • Lee, Jaeho;Lee, Seunghoon
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.483-494
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    • 2020
  • With the advent of the 4th Industrial Revolution, interest in AI education is increasing. In order to cultivate talented people with AI competencies who will lead the future, AI education must be conducted in a sound manner at the school site. Although AI education is being conducted at home and abroad, it was determined that the role of the AI education platform is important to implement better AI education, so this study investigated the perception of experts on the AI education platform. A perception survey was conducted based on five criteria: teaching and learning management, educational contents, accessibility, performance of AI education platform, and level suitability of elementary school students. As a results, the number of 103 educational experts selected 'Entry' as the most proper platform among the eight platforms - 'Machine learning for Kids', 'Teachable Machine', 'AI Oceans(code.org)', 'Entry', 'Genie Block', 'Elice', 'mBlock' and etc. Analysis shows that this is because 'Entry' provides quality educational content, has convenient accessibility, is easy to manage teaching and learning, as well as an AI education platform suitable for the level of elementary school. In order to apply various AI education platforms to the school field, it is necessary to train teachers in AI-related training to train them as AI education experts, and to continuously provide opportunities to experience AI education platforms. In this study, there are limitations to what is called 'a population perception survey'. because only 103 people were surveyed, and most of the experts are working in a specific area(Gyeonggi-do). In the future, it is judged that research targeting experts at the national level should be conducted to supplement these limitations.

Exploring the Operating and Supporting Direction of AI Curriculum by Analyzing A High School Case Study

  • Sungryong Ju;Seulgi Song;Seung-Bo Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.175-186
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    • 2023
  • This study was conducted to explore the necessary conditions and support for stable operation of an expanded AI curriculum in education. A high school that has implemented an AI curriculum since 2020 was targeted, and students and teachers were surveyed on their perceptions of the AI curriculum, implementation and support strategies. The survey items were categorized into 1) experience with AI education, 2) implementation direction of AI education, and 3) expected effects through AI education, and the results were derived focusing on frequency analysis to identify trends. The analysis resulted in three implications. First, it was suggested that the activation of AI education. Second, the need to develop a hands-on AI curriculum and incorporate AI throughout the entire curriculum was highlighted. Third, it was emphasized that efforts to enhance the capabilities of teachers to implement AI teaching and learning, along with the expansion of physical infrastructure for hands-on education, are necessary.

The Education Model of Liberal Arts to Improve the Artificial Intelligence Literacy Competency of Undergraduate Students (대학생의 AI 리터러시 역량 신장을 위한 교양 교육 모델)

  • Park, Youn-Soo;Yi, Yumi
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.423-436
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    • 2021
  • In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

The Physically Handicapped Person's Convergence Plan of e-Sports and Rehabilitation Activities, using AI-Based Metaverse. (AI기반 메타버스를 활용한 지체장애인의 e스포츠와 재활운동 융합방안)

  • Myung-Mi Kim;Ki-Young Jang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.4
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    • pp.715-722
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    • 2023
  • The purpose of this study is to revitalize rehabilitation treatment for people with physical disabilities by presenting a convergence plan between e-sports and rehabilitation exercises using AI-based metaverse. Metaverse-based e-sportscan be useful in providing sports experiences to people with physical disabilities who are unable to participate in society, and this also allows individuals with disabilities to experience sports that are difficult to actually experience. The use of metaverse will enable effective rehabilitation exercise links in vulnerable communities such as hospitals and farming and fishing villages, and provide integrated services of medical and rehabilitation movements that allow exercise data to be managed in an integrated manner. To this end, interdisciplinary experts should participate in the convergence development of e-sports and rehabilitation exercise.

Mind,Intelligence,Artificial Intelligence (마음,지능,인공지능)

  • 공용현
    • Korean Journal of Cognitive Science
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    • v.1 no.2
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    • pp.175-192
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    • 1989
  • The main problems of artificial intelligence (AI)which are vividly being discussed today are not only scientific but also involve serious philosophical dimension.The purpose of this paper is to analyze the computer scientist's definitions of AI and by this method uncober and examine the controversial arguments and problems.The result is to clarify the meaning of AI-research program. It can be said that we can clssify the definitions of AI in various types according to the interest and purpose of AI-reasearchers or the strength of their arguments.But this leaves much to be considered.We have also to consider and analyze the following related problems: Understanding how we grasp human intelligence,what relations there are between intelligence and the brain,and what the logical structure of simulating and copying is with the computer. In this respect,the key problem in AI-research is not the matter of it's use and experience such as computer technonolgy,rather it is the philosophical problem of the a priori such as logic,analysis of the concept.

Understanding Elementary School Teachers' Intention to Use Artificial Intelligence in Mathematics Lesson Using TPACK and Technology Acceptance Model (TPACK과 기술수용모델을 활용한 초등교사의 수학 수업에서 인공지능 사용 의도 이해)

  • Son, Taekwon;Goo, Jongseo;Ahn, Doyeon
    • Education of Primary School Mathematics
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    • v.26 no.3
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    • pp.163-180
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    • 2023
  • This study aimed to investigate the factors influencing the intentions of elementary school teachers to use artificial intelligence (AI) in mathematics lessons and to identify the essential prerequisites for the effective implementation of AI in mathematics education. To achieve this purpose, we examined the structural relationship between elementary school teachers' TPACK(Technological Pedagogical Content Knowledge) and the TAM(Technology Acceptance Model) using structural equation model. The findings of the study indicated that elementary school teachers' TPACK regarding the use of AI in mathematics instruction had a direct and significant impact on their perceived ease of use and perceived usefulness of AI. In other words, when teachers possessed a higher level of TPACK competency in utilizing AI in mathematics classes, they found it easier to incorporate AI technology and recognized it as a valuable tool to enhance students' mathematics learning experience. In addition, perceived ease of use and perceived usefulness directly influenced the attitudes of elementary school teachers towards the integration of AI in mathematics education. When teachers perceived AI as easy to use in their mathematics lessons, they were more likely to recognize its usefulness and develop a positive attitude towards its application in the classroom. Perceived ease of use, perceived usefulness, and attitude towards AI integration in mathematics classes had a direct impact on the intentions of elementary school teachers to use AI in their mathematics instruction. As teachers perceived AI as easy to use, valuable, and developed a positive attitude towards its incorporation, their intention to utilize AI in mathematics education increased. In conclusion, this study shed light on the factors influencing elementary school teachers' intentions to use AI in mathematics classes. It revealed that teachers' TPACK plays a crucial role in facilitating the integration of AI in mathematics education. Additionally, the study emphasized the significance of enhancing teachers' awareness of the advantages and convenience of using AI in mathematics instruction to foster positive attitudes and intentions towards its implementation. By understanding these factors, educational stakeholders can develop strategies to effectively promote the utilization of AI in mathematics education, ultimately enhancing students' learning outcomes.